Hungry, Humble, Honest, with Heart.

The Opportunity

We are looking for a strong systems/distributed systems engineer to join the Nutanix Cloud Manager team and develop key features for our on-prem and cloud releases. The work will range from analyzing application requirements and proposing and benchmarking databases, designing data processing pipelines to data analysis and recommending best practices based on workload.

The candidate will have an opportunity to work with senior engineers across India and US to operationalize and optimize all aspects of a data pipeline from gateways, message bus, data processors, database abstraction layer to databases.

About the Team

The Nutanix Cloud Manager team works on developing a health monitoring and alerting platform for all Nutanix services. It also provides an end-end telemetry platform which includes telemetry data collection via agents and a big data pipeline which provides capabilities such as data transformation / processing, data warehousing and data analytics.

Your Role

• Design and develop the next generation of Data Platform features for on-prem and cloud. Participate in data modeling discussion and influence data products roadmap to ensure the best solution for requirements from various service teams.
• Work across all components of a big data platforms such as API gateway, message bus, databases and database abstraction layers
• Propose and drive adoption of best practices for operationalizing data platforms including data catalog, tracing capabilities and configuration driven change etc.
• Design and implement pre-requisite data engineering by authoring Jobs via Apache Spark to satisfy requirements that cannot be solved by straightforward rules.
• Work closely with development, test, documentation and product management teams to deliver high quality products and services
• Collaborate with the best engineers in the industry to work on complex challenges in large-scale computing
  

What You Will Bring

• Bachelors or Masters degree in computer science or related streams
• 4-6 years of experience in software product development
• Experience with one or more of the following languages (Python, Scala, Java, Golang, C++)
• Experience working with Database technologies and optimizing workloads
• Experience working with Big Data technologies and one or more of the cloud platforms (AWS, Azure, GCP etc)
• Having an owner's mindset and experience working in a fast-paced and demanding environment
• Good understanding and working experience in SaaS technology development best practices (such as Agile)
• * Experience working with Kubernetes ecosystem, microservice patterns and Apache Spark is a plus
• Awareness of Data Marts, Data Lakes and Data Warehouses is a plus
  

Work Arrangement

Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e. San Jose, Durham, Mexico City, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Additional team-specific guidance and norms will be provided by your manager.

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